This paper aims to explore the forecasting accuracy of RON/USD exchange rate structural models with monetary fundamentals. I used robust regression approach for constructing robust neural models less sensitive to contamination with outliers and I studied its predictability on 1 to 6-month...

The paper presents the yearly and monthly forecast of the Romanian transition economy performed on the basis of the “Dobrescu” macromodel.

The new (2002) version of the "Pre-Accession Economic Program" has to take into account both the experience accumulated in the implementation of its previous (2001) form, and the changes occurred during 2001-2002 in the domestic and international environment, which have affected the Romanian...

The paper briefly presents the "Dobrescu" macromodel, the 2005 version, and the yearly forecast of the Romanian market economy computed on its basis. * (PHARE Programme RO2003/005-551.02.03 "Strengthening the capacity for analysis, macroeconomic forecast and elaboration of economic policies...

The paper presents the yearly and monthly forecast of the Romanian transition economy performed on the basis of the “Dobrescu” macromodel. * Source: Emilian DOBRESCU: Macromodels of the Romanian Transition Economy, third edition, Expert Publishing House, September 2000.

The paper briefly presents the "Dobrescu" macromodel, the 2002 version, and the yearly and monthly (September version) forecast of the Romanian transition economy computed on its basis. * (Source: Emilian Dobrescu, Macromodels of the Romanian Transition Economy, Third edition, Expert Publishing...

The paper presents the yearly and monthly forecast of the Romanian transition economy performed on the basis of the “Dobrescu” macromodel.

The first section attempts to define the main problems, taking into account that the productive performance of the Romanian economy is affected by a double constraint – both from a supply side and the from the demand side. Four essential factors are identified on the supply side: the existence...

The paper presents some aspects regarding the use of pattern recognition techniques and neural networks for the activity evolution diagnostication and prediction by means of a set of indicators. Starting from the indicators set there is defined a measure on the patterns set, measure representing...

The current paper attempts to describe the labor market parameter dynamics using a different method, namely the semi-Markovian processes. This method allows for the labor market study without the large fluctuations that occurred at a certain moment in time impinging upon the results of the...